An apparatus for mitigating unwanted life forms, the apparatus comprising: a sensor system configured to detect an unwanted life form; an adjustable first electrode; an earthed second electrode; a voltage generator connected to the first and second electrodes; a conductivity generator for increasing conductivity between the first electrode and the unwanted life form; and a controller in communication with the sensor system, the voltage generator and the conductivity generator, the controller, using a signal from sensor system, adjusting the first electrode to a position adjacent to yet separate from the unwanted life form and the second electrode, engaging the conductivity generator and initiating a transfer of charge from the first electrode to the life form using the increased conductivity of the air between the first electrode and the life form.

An apparatus for mitigating unwanted life forms, the apparatus comprising: a sensor system configured to detect an unwanted life form; an adjustable first electrode; an earthed second electrode; a voltage generator connected to the first and second electrodes; a conductivity generator for increasing conductivity between the first electrode and the unwanted life form; and a controller in communication with the sensor system, the voltage generator and the conductivity generator, the controller, using a signal from sensor system, adjusting the first electrode to a position adjacent to yet separate from the unwanted life form and the second electrode, engaging the conductivity generator and initiating a transfer of charge from the first electrode to the life form using the increased conductivity of the air between the first electrode and the life form.

An intercepting device (e.g. a furniture coaster device) is placed under furniture (bed, sofa, chair. etc.), other climbable object, or the floor adjacent an object to intercept crawling arthropods and other crawling pests. The intercepting device can be used to monitor the presence of crawling arthropods and other crawling pests (such as bed bugs, ants, cockroaches, beetles, spiders, etc.), reduce pest numbers, and monitor efficacy of pest control procedures. The intercepting device includes pitfall trap surfaces that form multiple pitfall traps.

An intercepting device (e.g. a furniture coaster device) is placed under furniture (bed, sofa, chair. etc.), other climbable object, or the floor adjacent an object to intercept crawling arthropods and other crawling pests. The intercepting device can be used to monitor the presence of crawling arthropods and other crawling pests (such as bed bugs, ants, cockroaches, beetles, spiders, etc.), reduce pest numbers, and monitor efficacy of pest control procedures. The intercepting device includes pitfall trap surfaces that form multiple pitfall traps.

A self-contained, weatherproof control system containing logic that when connected to a video camera and loudspeaker, is a method for selective deterrence of problem individuals or populations of specific species of wildlife. Control system uses circuitry that interacts with video capture technology and extracts frames of video, then processed by object recognition software, powered by artificial intelligence and machine learning, which provides the ability to disregard any wildlife not considered nuisance and recognize and deter those animals that are considered a pest or a nuisance by way of a pre-configured action.

A robotic rover that is configured to monitor a property is disclosed. In one aspect, the rover includes a sensor that is configured to generate sensor data. The rover further includes a processor that is configured to analyze the sensor data. The processor is further configured to determine that an unwanted animal is located at the property. The processor is further configured to generate an instruction to navigate the drone towards the unwanted animal. The rover further includes a motor that is configured to navigate the drone towards the unwanted animal in response to the instruction to navigate the drone towards the unwanted animal. The processor is further configured to generate an instruction to activate a device that is configured to encourage the unwanted animal to leave the property.

A robotic rover that is configured to monitor a property is disclosed. In one aspect, the rover includes a sensor that is configured to generate sensor data. The rover further includes a processor that is configured to analyze the sensor data. The processor is further configured to determine that an unwanted animal is located at the property. The processor is further configured to generate an instruction to navigate the drone towards the unwanted animal. The rover further includes a motor that is configured to navigate the drone towards the unwanted animal in response to the instruction to navigate the drone towards the unwanted animal. The processor is further configured to generate an instruction to activate a device that is configured to encourage the unwanted animal to leave the property.

This disclosure provides a method of detecting and deterring a target animal from a target area. A target area is positioned within the field of vision of a video camera connected to a computer processing system. An animal identification computer program using convolution neural networks and deep learning computer programs and camera images rapidly detects a target animal. The animal identification computer program is trained to identify target animals accurately using a learning algorithm and related machine learning technology. The time to deploy a deterrent against a target animal from the instant of detection is 2 seconds or less so that little or no time is available to the target animal to damage the target area.

This disclosure provides a method of detecting and deterring a target animal from a target area. A target area is positioned within the field of vision of a video camera connected to a computer processing system. An animal identification computer program using convolution neural networks and deep learning computer programs and camera images rapidly detects a target animal. The animal identification computer program is trained to identify target animals accurately using a learning algorithm and related machine learning technology. The time to deploy a deterrent against a target animal from the instant of detection is 2 seconds or less so that little or no time is available to the target animal to damage the target area.

One general aspect includes a method of animal detection and warning, the method including: detecting, via a processor, a presence of an animal in an area beneath a vehicle; and when the presence of an animal is detected in the area beneath the vehicle, warning, via the processor, the animal to vacate the area beneath the vehicle. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.